from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.dwd.dwd_tmsnew_shipment_dt import jms_dwd__dwd_tmsnew_shipment_dt
from jms.dwd.January.dwd_tmsnew_shipment_stop_dt import jms_dwd__dwd_tmsnew_shipment_stop_dt
from jms.dwd.tab.dwd_tab_barscan_loading_base_dt import jms_dwd__dwd_tab_barscan_loading_base_dt  



# 配置所依赖的表所处的[任务名字]及[任务所在包的位置]

jms_dm__dm_trunk_error_scan_detail = SparkSqlOperator(
    task_id='jms_dm__dm_trunk_error_scan_detail',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    execution_timeout=timedelta(minutes=20),
    email='yushuo@jtexpress.com',
    name='jms_dm__dm_trunk_error_scan_detail_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_trunk_error_scan_detail/execute.hql',
    driver_memory='2G' , 
    driver_cores=2 , 
    executor_cores=2 , 
    executor_memory='2G' , 
    num_executors=3 , 
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 4 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 180,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'             : '1G' , 
          'spark.sql.shuffle.partitions': 1000,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.network.timeout': 900,
          'spark.core.connection.ack.wait.timeout': 300,
          },
    # hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
    #           'hive.exec.dynamic.partition.mode': 'nonstrict',
    #           'hive.exec.max.dynamic.partitions': 20,  # 每天生成 20 个分区
    #           'hive.exec.max.dynamic.partitions.pernode': 20,  # 每天生成 20 个分区
    #           'hive.merge.mapredfiles':'true',
    #           'hive.merge.mapfiles':'true',
    #           'hive.merge.size.per.task': 128000000,
    #           "hive.merge.smallfiles.avgsize":128000000,
    #           },
    yarn_queue='pro',
)
# 设置依赖
jms_dm__dm_trunk_error_scan_detail << [
    jms_dwd__dwd_tmsnew_shipment_dt,
    jms_dwd__dwd_tmsnew_shipment_stop_dt,
    jms_dwd__dwd_tab_barscan_loading_base_dt
]
